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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. DevOps and Platform Engineering.
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Skills: Expertise in Cloud design, architecture and development; Azure solution design, architecture and development, Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365.
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Do you have a background in magnetic resonance imaging, deep learning, electrical engineering, physics, or related fields? The DevOps/Infrastructure engineer will be directly responsible for supporting all developer and IT operations on premises and in the cloud.
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Understanding of modern techniques in at least one of the following fields: Machine Learning, Deep Neural Networks, Natural Language Processing, or Voice/Speech Recognition. Proficiency with common devOps software: Openshift, Docker, QEMU, Artifactory, GitLAB or GitHub, Sonarqube, Ansible, terraform.
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Access to Microsoft certifications, training budget and e-learning platforms (Pluralsight, Rosetta Stone etc.) None of us are ever done learning, and if you’re at Avanade, you have a natural drive to explore what’s beyond your comfort zone.
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The Afero next-generation IoT PaaS accelerates time to market, provides hardened security from device to cloud and from factory to customers, simplifies onboarding to help maximize customer connections, and uses data ontology to streamline machine learning.
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Experience configuring and managing technologies used in big data and machine learning such as Snowflake, Spark, virtual networking in cloud environments. A technical background and knowledge of big data foundational concepts such as relational database, data warehouse, and data lakes is required to help build and maintain robust, scalable data and machine learning platforms.
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Work with the Director, Site Reliability Engineering to foster a culture of learning and continuous improvement, help to conceptualize and visualize workflows and processes. A collaborative, peacemaker mindset is a must while fostering a culture of learning and continuous improvement for the entire team.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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Software, Information Technology, Construction, Technology, Consulting, Artificial Intelligence, Real Estate, Machine Learning, Data Analysis, Property Management. Experience in DevOps tools like Git, Azure DevOps, Maven, Artifactory and Gradle.
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Key projects will include collaborating with the Data Team to deliver new cloud capabilities across Machine Learning, AI, Data and Analytics and defining, building and implementing improvements to the GCP platform and Terraform codebase, supporting 150+ microservices, associated messaging and data store.
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Come join Apple's Applied Machine Learning Team, as a Senior Cloud DevOps/ Site Reliability Engineer, to help build & support innovative software applications. Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications.
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5+ years of experience in SRE/Devops. Experience in GitOps based deployment tools like Spinnaker/Flux/ArgoCD. Strong background in config management tools like Ansible/Salt/Chef/Puppet. The ideal candidates should have a strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS. The main responsibilities for this position include: Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes Ability to understand the application requirements (Performance, Security, Scalability etc.
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learning job Title: devops
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